Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Override the title Chris Harrington [email protected] Session Overview OLAP Review MDX Explained SDK/API Options Demos The Multidimensional Data Model “Show me my sales by product by region by time” Dimensions: Product, Region,Time Hierarchical summarization paths Product W S N Juice Cola Milk Cream Toothpaste Soap 1 2 34 5 6 7 Product Industry Region Country Category Region Product City Time Year Quarter Month Month Office Day Week Why Use OLAP? Relational database Data Warehouse Transactional processing Tactical information “What was the total revenue from soft drinks for Sussex in January?” “What would be the effect on soft drink costs to distributors if syrup prices went up by 10p/gallon and shipping costs went down by 5p/mile?” OnLine Analytical Processing (OLAP) ‘Slice and dice’ for Data Warehouses Terminology Cube – A multi-dimensional container for information and pre-calculated query results. Terminology A discrete name or identifier used to identify a data item's position and description within a dimension. Coffee Apples Tea Time April March February Onions January Products Members – Terminology Parent-child relationships within a dimension. Coffee A detail member of a dimension is the lowest level number in its hierarchy. Apples Tea Time April March February Week3 Am April pm Monday March Tuesday Week2 Week1 February Onions January Products Hierarchy – Terminology Level – Coffee e.g. Jan, Feb are of the level Month within Time Apples Tea Monday,Tuesday would be of the level Day Time April March Week2 Week1 February Week2 Week1 Onions January Products Position within a hierarchy.